{"id":"W4232909490","doi":"10.1002/jbmr.3499","title":"Ed Bd, Masthead, Comm List and TOC","year":2019,"lang":"en","type":"article","venue":"Journal of Bone and Mineral Research","topic":"Metal Extraction and Bioleaching","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Citation; Computer science; World Wide Web; Library science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004198402,0.001614988,0.0009985731,0.002320514,0.001749655,0.004322703,0.001560436,0.001753196,0.92393],"category_scores_gemma":[0.002140685,0.0009291074,0.0008102456,0.002190335,0.0005365763,0.002658359,0.001816127,0.001835097,0.9063551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001092314,"about_ca_system_score_gemma":0.001975125,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004493776,"about_ca_topic_score_gemma":0.01428836,"domain_scores_codex":[0.9995255,0.00002732104,0.00002343837,0.0001147426,0.0002545505,0.0000544103],"domain_scores_gemma":[0.9989985,0.00009214463,0.00005113783,0.0001569536,0.000399172,0.0003021602],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001839247,0.00001275639,0.00003695451,0.00005413049,0.000001177616,0.00001926551,0.00000757004,0.0000194238,0.0002134931,0.0006942332,0.9456378,0.05328491],"study_design_scores_gemma":[0.000004610476,0.00001031661,0.0001468706,0.00003597451,0.000001183077,0.00004078935,0.00001752713,0.00001808284,0.00009134747,0.0002570008,0.9993733,0.000003045006],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002225493,0.001824332,0.0006252659,0.00200788,0.003390982,0.0001182122,0.005815273,0.002087305,0.9839082],"genre_scores_gemma":[0.0003577936,0.0006726925,0.000160983,0.0002292152,0.0001631127,0.00001612169,0.001199074,0.0002007244,0.9970004],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.07607001,"threshold_uncertainty_score":0.1085047,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03762267785775848,"score_gpt":0.3269073168764829,"score_spread":0.2892846390187244,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}